The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-13"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "4347018 (up from 4261955 yesterday: 2 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "297197 (up from 291964 yesterday: 1.79 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.84



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1390406 20832 1.52 84119 1743 2.12 6.05
Russia 242271 10028 4.32 2212 96 4.54 0.91
United Kingdom 230985 3244 1.42 33264 495 1.51 14.40
Spain 228691 661 0.29 27104 184 0.68 11.85
Italy 222104 888 0.40 31106 195 0.63 14.01
Brazil 190137 11923 6.69 13240 779 6.25 6.96
France 178184 -165 -0.09 27077 83 0.31 15.20
Germany 174098 927 0.54 7861 123 1.59 4.52
Turkey 143114 1639 1.16 3952 58 1.49 2.76
Iran 112725 1958 1.77 6783 50 0.74 6.02
China 84024 6 0.01 4637 0 0.00 5.52
India 78055 3763 5.07 2551 136 5.63 3.27
Peru 76306 4247 5.89 2169 112 5.44 2.84
Canada 73568 1149 1.59 5425 125 2.36 7.37
Belgium 53981 202 0.38 8843 82 0.94 16.38
Saudi Arabia 44830 1905 4.44 273 9 3.41 0.61
Netherlands 43410 227 0.53 5581 52 0.94 12.86
Mexico 40186 1862 4.86 4220 294 7.49 10.50
Pakistan 35298 962 2.80 761 24 3.26 2.16
Chile 34381 2660 8.39 346 11 3.28 1.01
Ecuador 30486 67 0.22 2334 7 0.30 7.66
Switzerland 30413 33 0.11 1870 3 0.16 6.15
Portugal 28132 219 0.78 1175 12 1.03 4.18
Sweden 27909 637 2.34 3460 147 4.44 12.40
Qatar 26539 1390 5.53 14 0 0.00 0.05
Belarus 25825 952 3.83 146 4 2.82 0.57
Singapore 25346 675 2.74 21 0 0.00 0.08
Ireland 23401 159 0.68 1497 9 0.60 6.40
United Arab Emirates 20386 725 3.69 206 3 1.48 1.01
Bangladesh 17822 1162 6.97 269 19 7.60 1.51
Poland 17204 283 1.67 861 22 2.62 5.00
Israel 16548 19 0.11 264 4 1.54 1.60
Ukraine 16425 402 2.51 439 14 3.29 2.67
Japan 16049 81 0.51 678 21 3.20 4.22
Romania 16002 224 1.42 1036 34 3.39 6.47
Austria 15997 36 0.23 624 1 0.16 3.90
Indonesia 15438 689 4.67 1028 21 2.09 6.66
Colombia 12930 658 5.36 509 16 3.25 3.94
South Africa 12074 724 6.38 219 13 6.31 1.81
Philippines 11618 268 2.36 772 21 2.80 6.64
Dominican Republic 11196 296 2.72 409 7 1.74 3.65
Kuwait 11028 751 7.31 82 7 9.33 0.74
Korea, South 10991 29 0.26 260 1 0.39 2.37
Denmark 10865 76 0.70 533 6 1.14 4.91
Egypt 10431 338 3.35 556 12 2.21 5.33
Serbia 10295 52 0.51 222 2 0.91 2.16
Panama 8944 161 1.83 256 4 1.59 2.86
Czechia 8269 48 0.58 290 7 2.47 3.51
Norway 8175 18 0.22 229 1 0.44 2.80
Australia 6989 9 0.13 98 0 0.00 1.40
Argentina 6879 316 4.81 329 10 3.13 4.78
Malaysia 6779 37 0.55 111 2 1.83 1.64
Morocco 6512 94 1.46 188 0 0.00 2.89
Algeria 6253 186 3.07 522 7 1.36 8.35
Finland 6054 51 0.85 284 9 3.27 4.69
Bahrain 5816 285 5.15 10 1 11.11 0.17
Kazakhstan 5417 138 2.61 32 0 0.00 0.59
Ghana 5408 281 5.48 24 2 9.09 0.44
Moldova 5406 252 4.89 185 3 1.65 3.42
Afghanistan 5226 263 5.30 132 5 3.94 2.53
Nigeria 4971 184 3.84 164 6 3.80 3.30
Oman 4019 298 8.01 17 0 0.00 0.42
Luxembourg 3904 10 0.26 103 1 0.98 2.64
Armenia 3718 180 5.09 48 1 2.13 1.29
Hungary 3341 28 0.85 430 5 1.18 12.87
Bolivia 3148 184 6.21 142 14 10.94 4.51
Iraq 3032 119 4.09 115 3 2.68 3.79
Thailand 3017 0 0.00 56 0 0.00 1.86
Cameroon 2800 111 4.13 136 11 8.80 4.86
Greece 2760 16 0.58 155 3 1.97 5.62
Azerbaijan 2758 65 2.41 35 2 6.06 1.27
Uzbekistan 2612 93 3.69 11 1 10.00 0.42
Guinea 2374 76 3.31 14 3 27.27 0.59
Honduras 2255 175 8.41 123 2 1.65 5.45
Croatia 2213 6 0.27 94 3 3.30 4.25
Bosnia and Herzegovina 2181 23 1.07 120 3 2.56 5.50
Senegal 2105 110 5.51 21 2 10.53 1.00
Bulgaria 2069 46 2.27 96 1 1.05 4.64
Cote d’Ivoire 1912 55 2.96 24 3 14.29 1.26
Sudan 1818 157 9.45 90 10 12.50 4.95
Cuba 1810 6 0.33 79 1 1.28 4.36
Iceland 1802 1 0.06 10 0 0.00 0.55
Estonia 1751 5 0.29 61 0 0.00 3.48
North Macedonia 1694 20 1.19 95 3 3.26 5.61
Lithuania 1505 14 0.94 54 4 8.00 3.59
New Zealand 1497 0 0.00 21 0 0.00 1.40
Slovakia 1469 4 0.27 27 0 0.00 1.84
Slovenia 1463 2 0.14 103 1 0.98 7.04
Guatemala 1342 143 11.93 29 2 7.41 2.16
Djibouti 1268 12 0.96 3 0 0.00 0.24
Somalia 1219 49 4.19 52 0 0.00 4.27
Congo (Kinshasa) 1169 67 6.08 50 6 13.64 4.28
Kyrgyzstan 1044 7 0.68 12 0 0.00 1.15
El Salvador 1037 39 3.91 20 0 0.00 1.93
Tunisia 1032 0 0.00 45 0 0.00 4.36
Gabon 1004 141 16.34 9 0 0.00 0.90

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 340661 2176 0.64 27477 193 0.71 8.07 17511.50 1412.44 1 in 57
New Jersey 141560 643 0.46 9714 183 1.92 6.86 15937.51 1093.65 1 in 63
Illinois 84694 1673 2.02 3792 191 5.30 4.48 6683.65 299.25 1 in 150
Massachusetts 80497 1165 1.47 5315 174 3.38 6.60 11583.13 764.80 1 in 86
California 72798 1820 2.56 2957 78 2.71 4.06 1842.42 74.84 1 in 543
Pennsylvania 62101 791 1.29 4094 180 4.60 6.59 4850.89 319.79 1 in 206
Michigan 48391 370 0.77 4714 40 0.86 9.74 4845.47 472.02 1 in 206
Texas 43020 1588 3.83 1172 26 2.27 2.72 1483.66 40.42 1 in 674
Florida 42402 479 1.14 1827 48 2.70 4.31 1974.23 85.06 1 in 507
Georgia 35427 503 1.44 1517 19 1.27 4.28 3336.69 142.88 1 in 300
Connecticut 34855 522 1.52 3125 84 2.76 8.97 9776.21 876.51 1 in 102
Maryland 34812 751 2.20 1809 53 3.02 5.20 5758.16 299.22 1 in 174
Louisiana 32662 612 1.91 2381 34 1.45 7.29 7025.91 512.18 1 in 142
Virginia 26746 946 3.67 928 36 4.04 3.47 3133.49 108.72 1 in 319
Ohio 25721 471 1.87 1483 47 3.27 5.77 2200.43 126.87 1 in 454
Indiana 25473 346 1.38 1619 41 2.60 6.36 3783.75 240.49 1 in 264
Colorado 20475 318 1.58 1062 52 5.15 5.19 3555.47 184.42 1 in 281
Washington 17512 182 1.05 974 12 1.25 5.56 2299.70 127.91 1 in 435
Tennessee 16370 259 1.61 273 7 2.63 1.67 2395.67 39.95 1 in 417
North Carolina 16352 730 4.67 625 25 4.17 3.82 1559.10 59.59 1 in 641
Iowa 13289 377 2.92 306 17 5.88 2.30 4211.95 96.99 1 in 237
Minnesota 12917 423 3.39 638 24 3.91 4.94 2290.40 113.13 1 in 437
Arizona 12216 480 4.09 595 33 5.87 4.87 1604.22 78.14 1 in 623
Rhode Island 11835 221 1.90 462 18 4.05 3.90 11171.83 436.11 1 in 90
Wisconsin 10902 291 2.74 421 3 0.72 3.86 1872.41 72.31 1 in 534
Alabama 10700 236 2.26 450 15 3.45 4.21 2182.26 91.78 1 in 458
Missouri 10404 135 1.31 551 22 4.16 5.30 1695.17 89.78 1 in 590
Mississippi 10090 182 1.84 465 8 1.75 4.61 3390.29 156.24 1 in 295
Nebraska 8912 380 4.45 103 3 3.00 1.16 4607.09 53.25 1 in 217
South Carolina 8030 103 1.30 362 7 1.97 4.51 1559.61 70.31 1 in 641
Kansas 7518 278 3.84 188 4 2.17 2.50 2580.57 64.53 1 in 388
Delaware 6952 211 3.13 247 10 4.22 3.55 7139.31 253.65 1 in 140
Kentucky 6853 0 0.00 321 0 0.00 4.68 1533.91 71.85 1 in 652
Utah 6620 188 2.92 75 2 2.74 1.13 2064.91 23.39 1 in 484
District of Columbia 6584 99 1.53 350 14 4.17 5.32 9329.10 495.93 1 in 107
Nevada 6476 163 2.58 331 10 3.12 5.11 2102.49 107.46 1 in 476
New Mexico 5364 152 2.92 231 12 5.48 4.31 2558.15 110.17 1 in 391
Oklahoma 4858 126 2.66 278 0 0.00 5.72 1227.71 70.26 1 in 815
Arkansas 4236 72 1.73 97 2 2.11 2.29 1403.66 32.14 1 in 712
South Dakota 3732 69 1.88 39 0 0.00 1.05 4218.57 44.08 1 in 237
Oregon 3416 58 1.73 134 4 3.08 3.92 809.91 31.77 1 in 1235
New Hampshire 3299 60 1.85 150 8 5.63 4.55 2426.25 110.32 1 in 412
Puerto Rico 2329 30 1.30 115 1 0.88 4.94 729.25 36.01 1 in 1371
Idaho 2293 0 0.00 69 0 0.00 3.01 1279.53 38.50 1 in 782
North Dakota 1647 76 4.84 40 2 5.26 2.43 2161.24 52.49 1 in 463
Maine 1515 38 2.57 66 1 1.54 4.36 1127.05 49.10 1 in 887
West Virginia 1398 20 1.45 58 0 0.00 4.15 782.25 32.45 1 in 1278
Vermont 929 2 0.22 53 0 0.00 5.71 1488.81 84.94 1 in 672
Wyoming 688 13 1.93 7 0 0.00 1.02 1188.75 12.09 1 in 841
Hawaii 638 3 0.47 17 0 0.00 2.66 450.61 12.01 1 in 2219
Montana 462 1 0.22 16 0 0.00 3.46 432.27 14.97 1 in 2313
Alaska 383 0 0.00 10 0 0.00 2.61 523.55 13.67 1 in 1910

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1258907 340661 27.06 64713.45
New Jersey 441450 141560 32.07 49700.58
Illinois 489359 84694 17.31 38617.89
Massachusetts 410032 80497 19.63 59001.63
California 1065592 72798 6.83 26968.67
Pennsylvania 302869 62101 20.50 23657.96
Michigan 308260 48391 15.70 30866.57
Texas 587431 43020 7.32 20259.12
Florida 594763 42402 7.13 27692.07
Georgia 273904 35427 12.93 25797.60
Connecticut 142943 34855 24.38 40092.99
Maryland 173574 34812 20.06 28710.42
Louisiana 237904 32662 13.73 51175.42
Virginia 161392 26746 16.57 18908.28
Ohio 225854 25721 11.39 19321.76
Indiana 154083 25473 16.53 22887.40
Colorado 111250 20475 18.40 19318.48
Washington 256321 17512 6.83 33660.49
Tennessee 292917 16370 5.59 42866.90
North Carolina 210457 16352 7.77 20066.30
Iowa 85719 13289 15.50 27168.65
Minnesota 122035 12917 10.58 21638.82
Arizona 127750 12216 9.56 16776.34
Rhode Island 97922 11835 12.09 92434.97
Wisconsin 128013 10902 8.52 21986.17
Alabama 136372 10700 7.85 27812.94
Missouri 124142 10404 8.38 20227.04
Mississippi 100048 10090 10.09 33616.60
Nebraska 49725 8912 17.92 25705.54
South Carolina 93140 8030 8.62 18089.95
Kansas 57628 7518 13.05 19780.91
Delaware 34753 6952 20.00 35689.35
Kentucky 110634 6853 6.19 24763.23
Utah 156786 6620 4.22 48904.57
District of Columbia 31658 6584 20.80 44857.31
Nevada 66672 6476 9.71 21645.66
New Mexico 110289 5364 4.86 52597.99
Oklahoma 109127 4858 4.45 27578.42
Arkansas 73215 4236 5.79 24260.85
South Dakota 25844 3732 14.44 29213.52
Oregon 83987 3416 4.07 19912.81
New Hampshire 37216 3299 8.86 27370.52
Puerto Rico 2329 2329 100.00 729.25
Idaho 33128 2293 6.92 18485.94
North Dakota 48945 1647 3.37 64227.06
Maine 23607 1515 6.42 17561.96
West Virginia 66680 1398 2.10 37310.86
Vermont 21676 929 4.29 34737.79
Wyoming 15059 688 4.57 26019.47
Hawaii 38365 638 1.66 27096.38
Montana 23852 462 1.94 22317.08
Alaska 30649 383 1.25 41896.26

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 25922 1495 6.12 5547 21.40 19400 975 54 5.86 3.76
Gujarat 9268 364 4.09 3562 38.43 5140 566 29 5.40 6.11
Tamil Nadu 9227 509 5.84 2176 23.58 6987 64 3 4.92 0.69
Delhi 7998 359 4.70 2858 35.73 5034 106 20 23.26 1.33
Rajasthan 4394 268 6.50 2575 58.60 1697 122 5 4.27 2.78
Madhya Pradesh 4173 187 4.69 2004 48.02 1937 232 7 3.11 5.56
Uttar Pradesh 3758 94 2.57 1965 52.29 1707 86 4 4.88 2.29
West Bengal 2290 117 5.38 702 30.66 1381 207 9 4.55 9.04
Andhra Pradesh 2137 86 4.19 1142 53.44 948 47 1 2.17 2.20
Punjab 1924 10 0.52 200 10.40 1692 32 0 0.00 1.66
Telangana 1367 41 3.09 939 68.69 394 34 2 6.25 2.49
Jammu and Kashmir 971 37 3.96 466 47.99 495 10 0 0.00 1.03
Karnataka 959 34 3.68 451 47.03 474 33 2 6.45 3.44
Bihar 953 74 8.42 382 40.08 564 7 1 16.67 0.73
Haryana 793 13 1.67 418 52.71 364 11 0 0.00 1.39
Odisha 538 0 0.00 143 26.58 392 3 0 0.00 0.56
Kerala 535 10 1.90 490 91.59 41 4 0 0.00 0.75
Chandigarh 191 4 2.14 30 15.71 158 3 0 0.00 1.57
Jharkhand 181 9 5.23 87 48.07 91 3 0 0.00 1.66
Tripura 154 0 0.00 16 10.39 138 0 0 NaN 0.00
Assam 80 15 23.08 40 50.00 37 2 0 0.00 2.50
Uttarakhand 72 3 4.35 46 63.89 25 1 0 0.00 1.39
Himachal Pradesh 67 1 1.52 35 52.24 26 3 0 0.00 4.48
Chhattisgarh 59 0 0.00 55 93.22 4 0 0 NaN 0.00
Ladakh 43 1 2.38 22 51.16 21 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Meghalaya 13 0 0.00 11 84.62 1 1 0 0.00 7.69
Puducherry 13 1 8.33 9 69.23 4 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 524163 83298 394 0.48 15.89 5007 307 30032 15185 18.23
Piemonte 224788 29058 169 0.58 12.93 1858 122 12491 3460 11.91
Emilia-Romagna 243883 26979 50 0.19 11.06 1165 123 6502 3905 14.47
Veneto 463154 18813 31 0.17 4.06 364 30 5020 1712 9.10
Toscana 189026 9829 27 0.28 5.20 284 72 3563 964 9.81
Liguria 72174 8930 67 0.76 12.37 430 35 2718 1314 14.71
Lazio 188632 7250 38 0.53 3.84 1224 83 4235 577 7.96
Marche 80850 6588 20 0.30 8.15 211 20 3013 971 14.74
Campania 124370 4630 15 0.33 3.72 402 19 1815 394 8.51
Puglia 83713 4348 11 0.25 5.19 310 27 2322 460 10.58
P.A. Trento 57997 4312 9 0.21 7.43 76 9 573 446 10.34
Sicilia 107991 3354 11 0.33 3.11 212 13 1889 262 7.81
Friuli Venezia Giulia 94600 3156 8 0.25 3.34 92 2 779 316 10.01
Abruzzo 51361 3127 12 0.39 6.09 214 7 1489 375 11.99
P.A. Bolzano 51181 2575 3 0.12 5.03 56 7 413 290 11.26
Umbria 50731 1419 0 0.00 2.80 36 4 106 72 5.07
Sardegna 36710 1345 1 0.07 3.66 78 10 491 120 8.92
Valle d’Aosta 10777 1163 3 0.26 10.79 38 0 93 141 12.12
Calabria 49787 1140 2 0.18 2.29 64 1 551 93 8.16
Molise 10062 401 15 3.89 3.99 9 1 231 22 5.49
Basilicata 19678 389 2 0.52 1.98 42 1 131 27 6.94

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 39940 705 1.80 3221 89 2.84 8.06 4678.09 377.27 1 in 214
Ontario 22516 358 1.62 1883 31 1.67 8.36 1530.47 127.99 1 in 653
Alberta 6407 62 0.98 120 2 1.69 1.87 1451.80 27.19 1 in 689
British Columbia 2376 16 0.68 132 0 0.00 5.56 464.89 25.83 1 in 2151
Nova Scotia 1024 4 0.39 51 3 6.25 4.98 1047.62 52.18 1 in 955
Saskatchewan 577 4 0.70 7 0 0.00 1.21 488.29 5.92 1 in 2048
Manitoba 290 0 0.00 7 0 0.00 2.41 210.52 5.08 1 in 4750
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 120 0 0.00 0 0 NaN 0.00 153.85 0.00 1 in 6500
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68134 4512 6.62
Guangdong 1589 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1050 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 660 7 1.06
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 209 1 0.48
Shanxi 198 0 0.00
Tianjin 191 3 1.57
Yunnan 185 2 1.08
Hainan 168 6 3.57
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Jilin 134 1 0.75
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 4249.41 257.09 1 in 235
Russia 1676.62 15.31 1 in 596
United Kingdom 3476.60 500.66 1 in 288
Spain 4901.22 580.88 1 in 204
Italy 3672.35 514.32 1 in 272
Brazil 908.44 63.26 1 in 1101
France 2659.86 404.19 1 in 376
Germany 2102.89 94.95 1 in 476
Turkey 1770.99 48.90 1 in 565
Iran 1388.92 83.58 1 in 720
China 60.62 3.35 1 in 16495
India 58.29 1.91 1 in 17155
Peru 2371.96 67.42 1 in 422
Canada 1957.12 144.32 1 in 511
Belgium 4735.18 775.70 1 in 211
Saudi Arabia 1360.96 8.29 1 in 735
Netherlands 2526.78 324.85 1 in 396
Mexico 311.04 32.66 1 in 3215
Pakistan 179.18 3.86 1 in 5581
Chile 1904.76 19.17 1 in 525

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 187250 20316 10.85
Cook Illinois 56406 2589 4.59
Nassau New York 38587 2004 5.19
Suffolk New York 37305 1680 4.50
Los Angeles California 34538 1660 4.81
Westchester New York 31611 1245 3.94
Philadelphia Pennsylvania 18779 986 5.25
Wayne Michigan 18389 2156 11.72
Middlesex Massachusetts 18201 1282 7.04
Hudson New Jersey 17451 1007 5.77
Bergen New Jersey 17150 1409 8.22
Essex New Jersey 15905 1482 9.32
Suffolk Massachusetts 15587 749 4.81
Passaic New Jersey 14757 785 5.32
Miami-Dade Florida 14468 518 3.58
Union New Jersey 14306 908 6.35
Middlesex New Jersey 14241 819 5.75
Fairfield Connecticut 13636 1068 7.83
Rockland New York 12543 586 4.67
Essex Massachusetts 11703 704 6.02
Prince George’s Maryland 10072 389 3.86
Orange New York 9693 398 4.11
New Haven Connecticut 9570 745 7.78
Providence Rhode Island 9112 0 0.00
Harris Texas 8621 188 2.18
Worcester Massachusetts 8241 489 5.93
Oakland Michigan 7830 874 11.16
Hartford Connecticut 7732 963 12.45
Marion Indiana 7703 440 5.71
Ocean New Jersey 7688 571 7.43
Montgomery Maryland 7283 422 5.79
King Washington 7212 518 7.18
Norfolk Massachusetts 7129 676 9.48
Monmouth New Jersey 7090 466 6.57
Jefferson Louisiana 6833 408 5.97
Orleans Louisiana 6753 481 7.12
Fairfax Virginia 6666 262 3.93
Dallas Texas 6602 153 2.32
Plymouth Massachusetts 6592 424 6.43
District of Columbia District of Columbia 6584 350 5.32
Maricopa Arizona 6341 281 4.43
Macomb Michigan 6137 717 11.68
Broward Florida 5998 267 4.45
Morris New Jersey 5926 531 8.96
Lake Illinois 5758 194 3.37
Montgomery Pennsylvania 5513 556 10.09
Mercer New Jersey 5499 360 6.55
Bristol Massachusetts 5249 288 5.49
Riverside California 5248 225 4.29
DuPage Illinois 5244 271 5.17

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc